• DocumentCode
    722489
  • Title

    Performance projection and scalable loss model of SiC MOSFETs and SiC Schottky diodes

  • Author

    Kang Peng ; Santi, Enrico

  • Author_Institution
    Dept. of Electr. Eng., Univ. of South Carolina, Columbia, SC, USA
  • fYear
    2015
  • fDate
    21-24 June 2015
  • Firstpage
    281
  • Lastpage
    286
  • Abstract
    Silicon Carbide (SiC) power semiconductor devices are expected to achieve better performance than silicon power devices in high-switching-frequency, high-power and high-temperature applications. Several commercial SiC MOSFETs and SiC Schottky diodes are available on the market, and SiC power devices with higher power ratings are expected in the future. This paper presents a performance projection method and a scalable loss model for both SiC MOSFETs and SiC Schottky diodes. The performance projection method provides estimated parameters also for upcoming devices with higher power ratings than currently commercially available. These parameters are used in the scalable loss models to estimate power losses. The performance projection and scalable loss model are established based on data from Cree´s product datasheets. The loss breakdown analysis of a SiC DC-DC boost converter is presented to demonstrate the proposed performance projection method and scalable loss model.
  • Keywords
    DC-DC power convertors; MOSFET; Schottky diodes; power semiconductor devices; semiconductor device breakdown; semiconductor device models; silicon compounds; wide band gap semiconductors; Cree´s product datasheets; DC-DC boost converter; Schottky diodes; SiC; loss breakdown analysis; power losses; power semiconductor devices; MOSFET; Performance evaluation; Schottky diodes; Semiconductor device modeling; Silicon carbide; Thermal resistance; Loss analysis; Performance projection; SiC MOSFET; SiC Schottky diode;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Ship Technologies Symposium (ESTS), 2015 IEEE
  • Conference_Location
    Alexandria, VA
  • Print_ISBN
    978-1-4799-1856-0
  • Type

    conf

  • DOI
    10.1109/ESTS.2015.7157905
  • Filename
    7157905